A system and method that manages listings is provided. In example embodiments, a first listing for offering an item is created. A second listing that is an adjustment to the first listing that includes a different attribute is then created. A result of the first listing and a result of the second listing are evaluated. An optimal listing based on the result of the first listing and the result of the second listing is determined.
Legal claims defining the scope of protection. Each claim is shown in both the original legal language and a plain English translation.
1. A system comprising: at least one server operable to create, using offering creating logic, a first listing for offering at least one of a plurality of same items; determine a recovery rate for the first listing; compare the recovery rate for the first listing to a range associated with a target recovery rate; responsive to the recovery rate being within the range associated with the target recovery rate, automatically create, based on machine-readable rules, a next listing for at least another of the plurality of same items, the next listing maintains an attribute of the first listing; responsive to the recovery rate being outside the range associated with the target recovery rate, automatically create, based on the machine-readable rules, a second listing for at least another of the plurality of same items, the second listing comprising an adjustment to the first listing that changes the attribute of the first listing; and cause the next listing or the second listing to be distributed to a channel.
A system automatically optimizes online listings for selling identical items. It creates an initial listing with certain attributes (e.g., price, quantity). The system monitors the "recovery rate" (likely sales or conversion rate) of this listing and compares it to a target range. If the recovery rate is good (within the target range), the system automatically creates another similar listing, keeping the original attributes. If the recovery rate is poor (outside the target range), the system automatically creates a modified listing, changing one or more of the original attributes. The new or modified listing is then published to an online sales channel. This process uses pre-defined rules to make adjustments.
2. The system of claim 1 , wherein the at least one server is further operable to generate a report containing results corresponding to at least one of the first listing, the next listing, or the second listing.
The listing optimization system described above also generates reports showing the performance (results) of the original listing, the similar listing (with original attributes), and the modified listing. These reports help track which listing strategies are most effective.
3. The system of claim 1 , wherein the at least one server is further operable to forecast future results based on the result of at least one of the first listing, the next listing, or and the second listing.
The listing optimization system described above further forecasts future listing performance based on the results of the original listing, the similar listing (with original attributes), and the modified listing. This forecasting helps anticipate future sales and optimize listings proactively.
4. The system of claim 1 , wherein the attribute comprises a quantity.
In the listing optimization system described above, the attribute that can be adjusted in a listing is the quantity of items being offered for sale. The system may test different quantities to see which quantity maximizes sales or recovery rate.
5. The system of claim 1 , wherein the attribute is changed by either an absolute number or a relative percentage.
In the listing optimization system described above, the attribute being adjusted can be changed by a specific number (absolute) or by a percentage (relative). For example, the price can be lowered by $5 (absolute) or by 10% (relative).
6. The system of claim 1 , wherein the first listing and second listing are created for different channels.
In the listing optimization system described above, the first (original) listing and the second (modified) listing can be created for different online sales channels (e.g., different marketplaces, websites). This allows the system to optimize listings differently for each channel.
7. The system of claim 1 , wherein the at least one server is further operable to provide a user interface for entry of the range associated with the target recovery rate.
The listing optimization system described above includes a user interface where a user can enter or adjust the target recovery rate range. This allows the user to customize the system's optimization goals.
8. The system of claim 1 , wherein the attribute comprises a price.
In the listing optimization system described above, the attribute that can be adjusted in a listing is the price of the item being offered for sale. The system may test different prices to see which price maximizes sales or recovery rate.
9. The system of claim 1 , wherein the at least one server is further operable to: determine a recovery rate for the second listing; compare the recovery rate for the second listing to the range associated with the target recovery rate; responsive to the recovery rate for the second listing being within the range associated with the target recovery rate, automatically creating, based on machine-readable rules, a further listing that maintains the attribute of the second listing; and responsive to the recovery rate for the second listing being outside the range associated with the target recovery rate, automatically creating, based on the machine-readable rules, a third listing that is an adjustment to the second listing that changes the attribute of the second listing; and causing the further listing or the third listing to be published to the channel.
The listing optimization system, described in claim 1, also optimizes based on the modified "second" listing's performance. The system determines the recovery rate for the second listing and compares it to the target range. If the recovery rate for the second listing is within the target, a "further" listing is created, maintaining the attributes of the second listing. If the recovery rate is outside the target range, a "third" listing is created, adjusting one or more attributes of the second listing. The "further" or "third" listing is then published to the channel. This allows for iterative optimization.
10. The system of claim 1 , wherein the first listing is a test listing used to evaluate an effectiveness of the offering of the item.
In the listing optimization system described above, the initial listing serves as a "test listing" to evaluate how well the item is being offered. The recovery rate from this test listing is used to determine whether adjustments are needed.
11. A method comprising: creating, using offering creating logic, a first listing for offering at least one of a plurality of same items; determining a recovery rate for the first listing; comparing the recovery rate for the first listing to a range associated with a target recovery rate; responsive to the recovery rate being within the range associated with the target recovery rate, automatically creating, based on machine-readable rules, a next listing for at least another of the plurality of same items, the next listing maintains an attribute of the first listing; responsive to the recovery rate being outside the range associated with the target recovery rate, automatically creating, based on the machine-readable rules, a second listing for at least another of plurality of the same items, the second listing comprising an adjustment to the first listing that changes the attribute of the first listing; and causing the next listing or the second listing to be distributed to a channel.
A method for automatically optimizing online listings for selling identical items. It creates an initial listing with certain attributes (e.g., price, quantity). The method monitors the "recovery rate" (likely sales or conversion rate) of this listing and compares it to a target range. If the recovery rate is good (within the target range), the method automatically creates another similar listing, keeping the original attributes. If the recovery rate is poor (outside the target range), the method automatically creates a modified listing, changing one or more of the original attributes. The new or modified listing is then published to an online sales channel. This process uses pre-defined rules to make adjustments.
12. The method of claim 11 , further comprising generating a report containing results corresponding to at least one of the first listing, the next listing, or the second listing.
The listing optimization method described above also includes generating a report showing the performance (results) of the original listing, the similar listing (with original attributes), and the modified listing. These reports help track which listing strategies are most effective.
13. The method of claim 11 , further comprising forecasting future results based on the result of at least one of the first listing, the next listing, or the result of the second listing.
The listing optimization method described above further forecasts future listing performance based on the results of the original listing, the similar listing (with original attributes), and the modified listing. This forecasting helps anticipate future sales and optimize listings proactively.
14. The method of claim 11 , wherein the attribute comprises a quantity.
In the listing optimization method described above, the attribute that can be adjusted in a listing is the quantity of items being offered for sale. The method may test different quantities to see which quantity maximizes sales or recovery rate.
15. The method of claim 11 , wherein the attribute is changed by either an absolute number or a relative percentage.
In the listing optimization method described above, the attribute being adjusted can be changed by a specific number (absolute) or by a percentage (relative). For example, the price can be lowered by $5 (absolute) or by 10% (relative).
16. The method of claim 11 , wherein the first listing and second listing are created for different channels.
In the listing optimization method described above, the first (original) listing and the second (modified) listing can be created for different online sales channels (e.g., different marketplaces, websites). This allows the method to optimize listings differently for each channel.
17. The method of claim 11 , wherein the first listing is a test listing used to evaluate an effectiveness of the offering of the item.
In the listing optimization method described above, the initial listing serves as a "test listing" to evaluate how well the item is being offered. The recovery rate from this test listing is used to determine whether adjustments are needed.
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February 22, 2013
July 11, 2017
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